Principal AI Scientist

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers’ toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: https://www.solventum.com/en\-us/home/legal/website\-privacy\-statement/applicant\-privacy/ applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.**Job Description:**

• *Key Responsibilities**

• *1\. End\-to\-End System Architecture**

• **Design \& Deploy:** Lead the full lifecycle of AI applications, from initial data exploration and model training to deploying secure, scalable services in a production environment.
• **Hybrid Modeling:** Intelligently combine Classical ML (Random Forests, XGBoost, etc.) with Deep Learning and Generative AI to solve complex healthcare problems efficiently.
• **Agentic Frameworks:** Architect agent\-based reasoning systems to automate clinical workflows while maintaining strict "human\-in\-the\-loop" safety standards.

• *2\. Technical Leadership \& Strategy**

• **Technical Authority:** Serve as the lead architect for AI/ML strategy, ensuring all models are explainable, robust, and compliant with healthcare regulations (HIPAA/HITRUST).
• **Research to Reality:** Bridge the gap between theoretical research and practical engineering, ensuring prototypes are built with deployment and maintenance in mind.
• **Mentorship:** Elevate the engineering team through rigorous code reviews, architectural design docs, and best practices in data science.

• *3\. Data \& Operational Excellence**

• **Data Integrity:** Oversee the processing of structured and unstructured healthcare data (FHIR, HL7, clinical notes) ensuring high data quality and security.
• **Validation:** Implement rigorous model evaluation frameworks to detect bias and ensure clinical accuracy.

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